• DocumentCode
    2315533
  • Title

    Hindi Morphological Analyzer and Generator

  • Author

    Goyal, Vishal ; Lehal, Gurpreet Singh

  • Author_Institution
    Dept. of Comput. Sci., Punjabi Univ., Patiala
  • fYear
    2008
  • fDate
    16-18 July 2008
  • Firstpage
    1156
  • Lastpage
    1159
  • Abstract
    Morphology is the field of the linguistics that studies the internal structure of the words. Morphological analysis and generation are essential steps in any NLP application. Morphological analysis means taking a word as input and identifying their stems and affixes. Morphological analysis provides information about a wordpsilas semantics and the syntactic role it plays in a sentence. Morphological analysis is essential for Hindi it has a rich system of inflectional morphology as like other Indo-Aryan family languages. Morphological analyzer and generator is a tool for analyzing the given word and generator for generating word given the stem and its features (like affixes). This paper presents the morphological analysis and generator tool for Hindi language using paradigm approach for Windows platform having GUI. This project has been developed as part of the development of a machine translation system from Hindi to Punjabi Language.
  • Keywords
    language translation; natural language processing; Hindi morphological analyzer; Indo-Aryan family languages; NLP application; inflectional morphology; machine translation system; morphological analysis; morphological generator; Application software; Cats; Computer science; Graphical user interfaces; Information analysis; Magnetic heads; Morphology; Natural languages; Spatial databases; Inflectional Morphological Analysis; Machine Translation; Morphological Generation; Morphology; Natural Language Processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emerging Trends in Engineering and Technology, 2008. ICETET '08. First International Conference on
  • Conference_Location
    Nagpur, Maharashtra
  • Print_ISBN
    978-0-7695-3267-7
  • Electronic_ISBN
    978-0-7695-3267-7
  • Type

    conf

  • DOI
    10.1109/ICETET.2008.11
  • Filename
    4580078